Given the latest developments with @deepseek_ai
, what aspect are you most excited about? #AI
BIG TECH
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DeepSeek AI Latest Developments Excitement
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Microsoft’s topological qubit arrives seven years late
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Microsoft’s ‘topological qubit’ is seven years late and a million bits short Microsoft told me they would have a “topological qubit” in 2018. It’s only just arrived this week — maybe. There’s skepticism among scientists as to whether Microsoft’s paper in Nature actually proves
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Jensen Huang Leadership Philosophy Torture Into Greatness
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🔥 Jensen Huang on Leadership: No One Gets Left Behind
— Pascal Bornet (@pascal_bornet) 20 février 2025
“I’d rather torture you into greatness than give up on you.” — Jensen Huang, NVIDIA CEO
While most leaders cut their losses, Huang doubles down on people. He believes in improving, not replacing. The result?
🚀 NVIDIA’s… pic.twitter.com/t2o7Kzdfy2Jensen Huang on Leadership: No One Gets Left Behind
“I’d rather torture you into greatness than give up on you.” — Jensen Huang, NVIDIA CEO While most leaders cut their losses, Huang doubles down on people. He believes in improving, not replacing. The result? NVIDIA’s -
AWS and F1 Use AI to Achieve Net Zero Carbon by 2030
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6/ And let’s not forget sustainability. AWS is working with F1 to achieve Net Zero Carbon by 2030. Using AI to optimize logistics, reduce travel impact, and streamline race operations—AI for good at its best. #SustainableAI #AWS #F1
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AWS Generative AI Transforms F1 Aerodynamics and Car Design
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4/ But it doesn’t stop at data insights. AWS’s generative AI is helping F1 teams with aerodynamics, car design & simulations. The 2022 car? AWS-powered simulations helped reduce downforce loss from 50% to 15%. That’s Generative AI driving real performance. #F1 #AI
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AWS Revolutionizes Formula 1 with Generative AI Technology
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The intersection of Generative AI & sports is one of the most exciting frontiers of technology. After diving deep at #WAICF2025, I can confidently say: @AWSCloud is revolutionizing Formula 1 with Generative AI. Here’s how. #F1 #AI #AWSPartner #Ad @PawlowskiMario
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Grok’s H100 GPU Training: Missing Transparency on Key Metrics
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The number of H100 GPUs used for training helps estimate parameters, data size, and training duration, so it’s an important detail. But Grok’s team hasn’t been clear about key factors like benchmark performance and the exact number of GPUs used for training, which leads to
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OpenAI Abstract vs Grok: AI Model Comparison Analysis
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Openai gave very abstract compared to grok which is surprising tbh
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Grok-3 Training Hardware: 100k vs 200k H100s Clarification
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I want to clarify this. Was Grok-3 trained on 200k H100s, or is it being served using them? I remember hearing in the live Q&A that it was trained on 100k H100s.
